RNAct: Protein-RNA interaction predictions for model organisms with supporting experimental data

Lang, Benjamin; Armaos, Alexandros, 1989-; Tartaglia, Gian Gaetano

doi:http://dx.doi.org/10.1093/nar/gky967

RNAct: Protein-RNA interaction predictions for model organisms with supporting experimental data

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Lang B, Armaos A, Tartaglia GG. RNAct: Protein-RNA interaction predictions for model organisms with supporting experimental data. Nucleic Acids Res. 2019; 47(D1):601-6. DOI: 10.1093/nar/gky967

Abstract

Protein-RNA interactions are implicated in a number of physiological roles as well as diseases, with molecular mechanisms ranging from defects in RNA splicing, localization and translation to the formation of aggregates. Currently, ∼1400 human proteins have experimental evidence of RNA-binding activity. However, only ∼250 of these proteins currently have experimental data on their target RNAs from various sequencing-based methods such as eCLIP. To bridge this gap, we used an established, computationally expensive protein-RNA interaction prediction method, catRAPID, to populate a large database, RNAct. RNAct allows easy lookup of known and predicted interactions and enables global views of the human, mouse and yeast protein-RNA interactomes, expanding them in a genome-wide manner far beyond experimental data (http://rnact.crg.eu).